This paper discusses application of a new methodology that facilitates fuel load surveys in buildings. The methodology consists of four steps comprising digital inventory, data organization, item matching through computer vision, and fuel load estimation, and is programmed into a digitized surveying application. The present paper applies the methodology to three office buildings and provides the results of surveyed fuel load density. A total office area of 1720 m 2 was surveyed consisting of 34 closed offices and 161 cubicles within 12 large open plan office spaces. Compartment areas range from 8 m 2 to 87 m 2 for closed offices and 24 m 2 to 345 m 2 for open plan offices. The measured fuel load density for movable content had a mean of 1115 MJ/m 2 with a standard deviation of 614 MJ/m 2 . When including the fixed content, the measured total fuel load density had a mean of 1486 MJ/m 2 with a standard deviation of 726 MJ/m 2 . These values are considerably larger than values found in older surveys and most code provisions. The surveyed rooms had large quantities of paper, which amounted to 54% of the movable fuel load on average. Based on these results, and findings from other recent surveys, it is recommended to collect additional data. The work has established the foundation toward a fully automatized method, relying on an electronic form and a structured database of recorded information. A wide adoption of this method could populate an extensive fuel load database which can then be used to provide design guidelines for fuel load density in codes and standards, for application in performance-based design.

中文翻译：

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数字化燃料负荷测量方法在办公楼中的应用

本文讨论了一种新方法的应用，该方法有助于建筑物中的燃料负荷调查。该方法由四个步骤组成，包括数字库存、数据组织、通过计算机视觉的项目匹配和燃料负荷估计，并被编程到数字化测量应用程序中。本文将该方法应用于三座办公楼，并提供了调查燃料负荷密度的结果。总办公面积为 1720 m 2 ，包括 34 个封闭式办公室和 12 个大型开放式办公空间内的 161 个小隔间。封闭式办公室的隔间面积为 8 m 2 至 87 m 2 ，开放式办公室的隔间面积为 24 m 2 至 345 m 2 。可移动内容物的测量燃料负载密度平均值为 1115 MJ/m 2 ，标准偏差为 614 MJ/m 2 。包含固定内容时，测得的总燃料负载密度平均值为 1486 MJ/m 2 ，标准偏差为 726 MJ/m 2 。这些值远大于旧调查和大多数守则规定中的值。被调查房间有大量纸张，平均占可移动燃料装载量的 54%。根据这些结果以及近期其他调查的结果，建议收集更多数据。这项工作为完全自动化的方法奠定了基础，依赖于电子表格和记录信息的结构化数据库。这种方法的广泛采用可以填充一个广泛的燃料负载数据库，然后可以使用该数据库为规范和标准中的燃料负载密度提供设计指南，以应用于基于性能的设计。